The Office of Naval Research (ONR) has the responsibility for defining and sponsoring research and development (R & D) necessary to support both the current and future requirements of the Navy and Marine Corps. To accomplish this mission ONR must fund a broad spectrum of research, ranging from basic research needed to open up new options for the long-term, to very near-term advanced technology development to support the current fleet. Moreover, ONR must make its R & D funding decisions in the presence of uncertainty: uncertainty in required capabilities, uncertainty in performance requirements, and uncertainty in the feasibility of a technology or R & D approach. This report describes the adaptation of an R & D portfolio management decision framework recently developed by RAND (Silberglitt and Sherry; 2002), PortMan, to support ONR's R & D decision-making, and the demonstration of its use via a case study evaluation of 20 sample ONR applied research projects.
The Office of Naval Research (ONR) has the responsibility for defining and sponsoring research and development (R & D) necessary to support both the current and future requirements of the Navy and Marine Corps. To accomplish this mission ONR must fund a broad spectrum of research, ranging from basic research needed to open up new options for the long-term, to very near-term advanced technology development to support the current fleet. Moreover, ONR must make its R & D funding decisions in the presence of uncertainty: uncertainty in required capabilities, uncertainty in performance requirements, and uncertainty in the feasibility of a technology or R & D approach. This report describes the adaptation of an R & D portfolio management decision framework recently developed by RAND (Silberglitt and Sherry; 2002), PortMan, to support ONR's R & D decision-making, and the demonstration of its use via a case study evaluation of 20 sample ONR applied research projects.
The Public Sector R&D Enterprise combines a primer on how government R&D programs actually work with a sophisticated methodology for prospectively putting a dollar figure on the value of R&D investments before they are made.
This description of the application of the RAND Corporation's PortMan portfolio analysis and management method and Delphi consensus-building method for the National Security Agency (NSA) Information Sharing Services (ISS) division highlights how these methods enable the data-driven analysis of project portfolios and the allocation of research and development (R&D) and operations and maintenance (O&M) resources according to value, risk, and cost.
Naval Analytical Capabilities assesses current Department of Defense initiatives and the Department of the Navy's progress in transitioning from a requirements-based to a capabilities-based organization. The report also provides recommendations aimed at improving the organizational structure of the Office of the Chief of Naval Operations to best position the Chief of Naval Operations to fulfill his Title 10 (U.S. Code on Armed Forces) responsibilities. This report addresses key elements of capabilities-based planning, examines Navy analytical processes, and recommends an approach to making improvements.
An analytical framework and methodology for capability-area reviews is described, along with new tools to support capabilities analysis and strategic-level defense planning in the Defense Department and the Services. BCOT generates and screens preliminary options, and the Portfolio-Analysis Tool (PAT) is used to evaluate options that pass screening. The concepts are illustrated with applications to Global Strike and Ballistic Missile Defense. Recommendations are made for further defense-planning research.
The Engineering Management discipline remains complex and multidisciplinary, and has progressed and broadened in scope significantly over the last 10–20 years. Previously, the discipline has been fragmented and not aligned with the purposes of economic development, mega-project delivery, and technological progress. Digital engineering has revolutionized the field of engineering by introducing digital tools and technologies to the design, creation, operation, and maintenance of physical systems, products, and services. It has enabled more efficient, effective, and sustainable solutions, and has the potential to drive significant innovation and improve the way we design, build, and operate physical systems. This handbook addresses new content of complexity by offering new engineering concepts such as simple, complicated, and complex, which have never been included in this discipline before and will generate interest from higher education, financial institutions, and technology companies. Handbook of Engineering Management: The Digital Economy focuses on multidisciplinary integration and complex evolving systems. It discusses the incorporation of a system of systems along with engineering economic strategies for sustainable economic growth. This handbook highlights functional leadership as the main part of an engineering manager’s competency and discusses how to form alliances strategically. In addition, it presents a comprehensive guide for the implementation of an environmental management system and shows how environmental and social impacts can be assessed in an organization applying digital tools. This handbook also brings together the three important areas of Engineering Management: Knowledge Management, the Digital Economy, and Digital Manufacturing. In addition, this handbook provides a comprehensive guide to implementing an environmental management system and shows how environmental and social impacts in an organization can be assessed using digital tools. Based on the authors’ practical experience, it describes various management approaches and explains how such a system can be used to prioritize actions and resources, increase efficiency, minimize costs, and lead to better, more informed decision making. It is essential to follow a systematic approach and to ask the right questions, whether the system is managed and implemented by humans, AI, or a combination of both. This handbook is laid out in a series of simple steps and dispels the jargon and myths surrounding this important management tool. This handbook is an ideal read for engineering managers, project managers, industrial and systems engineers, supply chain engineers, professionals who want to advance their knowledge, and graduate students.
